- recipe bioconductor-tapseq
Targeted scRNA-seq primer design for TAP-seq
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/TAPseq.html
- License:
MIT + file LICENSE
- Recipe:
Design primers for targeted single-cell RNA-seq used by TAP-seq. Create sequence templates for target gene panels and design gene-specific primers using Primer3. Potential off-targets can be estimated with BLAST. Requires working installations of Primer3 and BLASTn.
- package bioconductor-tapseq¶
- versions:
1.14.1-0
,1.12.0-0
,1.10.0-0
,1.6.0-0
,1.4.0-0
,1.2.0-1
,1.2.0-0
,1.0.0-0
- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0
- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0
- depends bioconductor-biostrings:
>=2.70.0,<2.71.0
- depends bioconductor-bsgenome:
>=1.70.0,<1.71.0
- depends bioconductor-genomeinfodb:
>=1.38.0,<1.39.0
- depends bioconductor-genomicalignments:
>=1.38.0,<1.39.0
- depends bioconductor-genomicfeatures:
>=1.54.0,<1.55.0
- depends bioconductor-genomicranges:
>=1.54.0,<1.55.0
- depends bioconductor-iranges:
>=2.36.0,<2.37.0
- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0
- depends r-base:
>=4.3,<4.4.0a0
- depends r-dplyr:
- depends r-tidyr:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-tapseq and update with:: mamba update bioconductor-tapseq
To create a new environment, run:
mamba create --name myenvname bioconductor-tapseq
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-tapseq:<tag> (see `bioconductor-tapseq/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-tapseq/README.html)